Trait plasticity and integration mediate vegetable adaptive strategies. However, it is unclear how patterns of vegetables in root traits influence vegetable adaptation to different phosphorus (P) levels. Nine root traits and six shoot traits were investigated in 12 vegetable species cultivated in a greenhouse with low and high P supplies to identify distinct adaptive mechanisms in relation to P acquisition (40 and 200 P mg kg^-1 as KH₂PO₄). At the low P level, a series of negative correlations among root morphology, exudates and mycorrhizal colonization, and different types of root functional properties (root morphology, exudates and mycorrhizal colonization) respond differently to soil P levels among vegetable species. non-mycorrhizal plants showed relatively stable root traits as compared to solanaceae plants that showed more altered root morphologies and structural traits. At the low P level, the correlation between root traits of vegetable crops was enhanced. It was also found in vegetables that low P supply enhances the correlation of morphological structure while high P supply enhances the root exudation and the correlation between mycorrhizal colonization and root traits. Root exudation combined with root morphology and mycorrhizal symbiosis to observe P acquisition strategies in different root functions. Vegetables respond highly under different P conditions by enhancing the correlation of root traits. Low P supply could significantly improve the direct and indirect ways of mycorrhizal vegetable crops’ root traits axis on shoot biomass, and enhance the direct way of non-mycorrhizal vegetable crops’ root traits axis and reduce the indirect way of root exudates.

With the development of sustainable agriculture, trials on the benefits of the application of organic fertilizers around the world have been conducted. Herein, we investigated the impact of the pure chemical fertilizers (CFs) combined with organic fertilizers compared with the application of CFs (100% CFs) and no fertilizers (NFs) on soil properties as well as the yield and quality of Chinese cabbage through meta-analysis. Results indicate that: (1) Compared with NFs, the application of organic fertilizers can significantly improve the yield and quality of Chinese cabbage and increase soil nutrients. (2) Compared with CFs, the application of organic fertilizers can increase the fresh weight, number of leaves, transverse diameter, leaf length, and development of Chinese cabbage per plant, with increases of 8.54%, 6.6%, 9.905%, 8.42%, and 10.03%; Meanwhile, organic fertilizers can significantly increase the yield (total amount of above-ground parts produced) and commercial yield (the portion that meets the required quality standards and is intended for sale) of Chinese cabbage to increase the yield and commercial yield by 10.08% and 35.56%, respectively. However, it has no significant impact on the income from growing Chinese cabbage. (3) Compared with CFs, the application of organic fertilizers can significantly increase the content of vitamin C (11.06%), soluble sugar (19.16%), and soluble protein (8.83%) and reduce the content of nitrate and nitrite in Chinese cabbage, with a reduction of up to 19.02% and 20.9%, respectively. The application of organic fertilizers will also have a certain impact on the absorption of heavy metals in Chinese cabbage. (4) Compared with CFs, the application of organic fertilizers can significantly improve soil organic matter, soil carbon sequestration, nitrogen absorption, and potassium absorption, showing increases of 12.73%, 13.19%, 7.91%, and 7.37%, and the application of organic fertilizers reduces soil electrical conductivity and available nitrogen, showing decreases of 36.78% and 38.75%, respectively. (5) The application of organic fertilizers significantly increased the content of soil urease and soil sucrase, increasing by 9.42% and 17.16%, respectively. This study helps inform the application of organic fertilizers in Chinese cabbage production.

Tomato is a vital crop within agricultural production systems and ranks among the most in-demand vegetables on the market, but tomato production faces significant challenges due to long-term cultivation practices, including soil successive cropping obstacles, nutrient imbalances, reduced microbial diversity, and the accumulation of allelopathic substances. Previous studies show that tomatoes exhibit substantial differences in yield and quality between integrated and conventional systems, primarily attributed to its high nutrient demands. This review synthesizes the most relevant scientific literature worldwide to examine the current state of knowledge regarding crop nutrition and soil fertility management in tomato production systems. It systematically analyzes the impacts of nutrient solutions, green manures, soil amendments, and biostimulants on both tomato yield and quality. The main findings indicate that conventional management methods lead to constrained tomato yields due to degraded soil fertility and inadequate nutrient supply. Therefore, integrated soil-tomato system strategies are required to enhance productivity and meet consumer demands. Additionally, this review uniquely integrates multidisciplinary approaches to highlight synergistic strategies for optimizing both yield and quality. We identify a critical gap in long-term comparative studies on soil-tomato system management and emphasize the need for consumer-oriented quality metrics in future research. By synthesizing global evidences, this work provides a comprehensive framework for sustainable tomato production beyond conventional nutrient-focused practices.

Piper nigrum–Areca catechu intercropping mitigates soil problems related to continuous P. nigrum cropping, but the exact reason for this is not clear. In this study, the intercropping system increased P. nigrum’s single plant weight by 27.0–55.5% and unit yield per hectare by 5.1–33.5% in 2019–2022. Intercropping altered the metabolic profiles of root exudates from both species, with increases in flavonoids (epicatechin and 4′,5,6,7-Tetramethoxyflavone), alkaloids (litebamine), and amino acids (proline betaine, L-homocysteic acid and L-homocysteic acid). Intercropping further increased the abundance of dominant soil bacteria, including GAL15 (354.9%) and Bacteroidota (70.4%) in the P. nigrum rhizosphere, and Firmicutes (141.8%) and WPS2 (75.3%) in the A. catechu rhizosphere. In the intercropping system, the abundance of soil flavonoids, including tangeritin, trifolirhizin, and hexamethylquercetagetin, which participated in improving nutrient absorption and plant growth, increased by 106.4~356.0%, 28.9~45.5%, and 45.2~127.1%, respectively, during the whole growing period. Overall, intercropping with A. catechu promoted carbon input to the P. nigrum soil via root exudates. This increased the diversity of P. nigrum rhizosphere beneficial bacterial communities, as well as the amounts of nutrients and plant growth-promoting secondary metabolites. Together, these effects improved nutrient uptake and utilization, thereby driving the sustainable production of P. nigrum, and ultimately achieving higher yields.

To discuss the water consumption patterns of winter wheat (Triticum aestivum L.) and the difference in yield traits among varieties under different irrigation systems, three field water treatments were established (jointing water, W1, CK; jointing water + flowering water, W2; and rising water + booting water + filling water, W3). Two winter wheat varieties (Hengmai4399 and Hengguan35) were selected in 2020–2021, and three (Hengmai4399, Hengguan35, and Hengmai28) were selected in 2021–2022 to investigate the impact of the irrigation amount on water consumption and its interaction with the varieties on yield traits of winter wheat. The results showed that there was a positive and significant correlation between soil water consumption and soil moisture reserve presowing; the correlation was the strongest in the 150–200 cm layer. The response of the yield of the three varieties to irrigation was Hengmai4399 > Hengmai28 > Hengguan35, and the drought resistance was Hengguan35 > Hengmai28 > Hengmai4399. When the soil water storage presowing was insufficient, Hengmai4399 combined with the W3 treatment achieved the highest yield and water use efficiency; when the soil water storage presowing was sufficient, Hengmai28 combined with the W2 treatment achieved a high-level yield and the highest WUE.

Quantifying planting layouts during the seedling stage of mung beans (Vigna radiata L.) is crucial for assessing cultivation conditions and providing support for precise management. Traditional information extraction methods are often hindered by engineering workloads, time consumption, and labor costs. Applying deep-learning technologies for information extraction reduces these burdens and yields precise and reliable results, enabling a visual analysis of seedling distribution. In this work, an unmanned aerial vehicle (UAV) was employed to capture visible light images of mung bean seedlings in a field across three height gradients of 2 m, 5 m, and 7 m following a time series approach. To improve detection accuracy, a small target detection layer (p2) was integrated into the YOLOv8-obb model, facilitating the identification of mung bean seedlings. Image detection performance and seedling information were analyzed considering various dates, heights, and resolutions, and the K-means algorithm was utilized to cluster feature points and extract row information. Linear fitting was performed via the least squares method to calculate planting layout parameters. The results indicated that on the 13th day post seeding, a 2640 × 1978 image captured at 7 m above ground level exhibited optimal detection performance. Compared with YOLOv8, YOLOv8-obb, YOLOv9, and YOLOv10, the YOLOv8-obb-p2 model improved precision by 1.6%, 0.1%, 0.3%, and 2%, respectively, and F1 scores improved by 2.8%, 0.5%, 0.5%, and 3%, respectively. This model extracts precise information, providing reliable data for quantifying planting layout parameters. These findings can be utilized for rapid and large-scale assessments of mung bean seedling growth and development, providing theoretical and technical support for seedling counting and planting layouts in hole-seeded crops.